Myśli zapisane

This is written by a practitioner who reads the research – not a physician, and not a memory coach. Wherever the evidence ends and my own interpretation begins, I try to say so.

Introduction. Description or Verdict

“Memory declines with age” is a sentence with two grammars. As a description it is largely true, though far narrower than it sounds. As a verdict it starts working on its own account, because a person who has passed that sentence on himself signs every lapse differently. A thirty-year-old whose friend’s name escapes him mid-greeting shrugs: too much going on. A fifty-five-year-old in the identical moment hears something else in his head: “so it begins.” The event is the same; the signature underneath it changes.

I want to put that sentence in order, in three steps. First, what actually weakens with age and what merely looks that way – because the bookkeeping of losses turns out to be far more itemised than the rumour. Second, the techniques: what is honestly known about their effectiveness in people past sixty, with no advertising and no grading on a curve. Third, compensation – the notebook, the calendar, the “if–then” plan – usually treated as an admission of defeat, though on the evidence it looks more like the other half of the same craft.

I will give away the conclusion now, since I have no intention of building suspense at the reader’s expense. In the second half of life, memory stops being an automatic transmission and becomes a craft. The operation that ran unattended for forty years – binding a new piece of information to a face, a place, a context – increasingly has to be performed by hand. Humanity happens to own hand tools for this older than print, and, more unusually, it owns measurements of how well they work. Those measurements are less flattering than the book covers, and considerably more interesting.

I. What Actually Declines, and What Only Looks That Way

1. The Bookkeeping of Losses

Once psychologists split memory into systems, the picture of ageing stops resembling a single downhill slope. The Swedish Betula project, one of the largest longitudinal studies of memory ever run, followed more than eight hundred people aged 35 to 80 for years. The finding: episodic memory – the memory for events, conversations, and where you put things – stays stable in the average person until roughly sixty, and only then begins to slide. Semantic memory, the store of knowledge and vocabulary, keeps growing until about 55. Lars-Göran Nilsson, one of the programme’s authors, put it plainly: of the five memory systems studied, one clearly weakens – the episodic; the semantic, procedural, short-term and perceptual systems hold up rather well.

Where, then, does the popular belief come from that the mind starts coasting downhill just after twenty? From cross-sectional studies, which compare different people of different ages at a single moment. Timothy Salthouse showed in 2009 that in such data several abilities – processing speed, reasoning, episodic memory – peak between the ages of 22 and 27. But differences between birth cohorts do not yet tell you how a single person changes: cohorts differ in schooling, in health, and in the world they grew up in. K. Warner Schaie, disputing Salthouse in the very same issue of the journal, called this shortcut the cross-sectional fallacy. The argument about when decline “really” begins is still running, and it is an argument about method: longitudinal studies flatter us through practice effects, cross-sectional ones libel us through generational differences. The honest answer is that for episodic memory the average trajectory bends around sixty, and everything earlier is contested.

One point in that dispute is not contested: the tempo slows. Salthouse demonstrated back in the nineties that once processing speed is statistically accounted for, much of the age difference in cognitive tasks shrinks or vanishes. An older mind mostly does not fail to know; it needs more time – which, in a world that measures intelligence with a stopwatch, is easily mistaken for not knowing.

2. The Binding Deficit

There is a second finding, to my mind the most practical one in this whole literature. Moshe Naveh-Benjamin showed across a series of experiments that older adults have disproportionately more trouble not with remembering single items but with binding them together. The face – I remember. The name – I remember there was one. That this face carries this name – gone. The meta-analysis of ninety studies he published with Sharon Old in 2008 confirmed it: the associative deficit runs distinctly deeper than the item deficit, and it shows up above all when we learn deliberately.

Why do I call this practical? Because the entire centuries-old mnemonic craft – from the Greek legend of Simonides, who was said to have identified the dead by where they had sat at the table, to today’s world championships – is a technology of binding. The memory palace binds information to a place. A vivid association binds a name to a facial feature. A narrative binds list items into a sequence. Memory techniques do not enlarge the warehouse; they perform by hand the one operation that stops performing itself with age. Which is why – and here I am trailing the rest of the essay – they work in older adults too, more slowly and with a lower ceiling.

3. How Much of It Is Prophecy

If “memory declines with age” can act as a verdict, it is worth asking whether the verdict affects the execution. It does, though more modestly than the headlines claim. In studies of stereotype threat, older adults reminded before a test about “senior moments” scored worse than those simply left to do the tasks. The meta-analysis by Ruth Lamont and colleagues from 2015 put the effect – after a correction of computational errors published three years later – at d = 0.32, and a review devoted purely to memory found the same order of magnitude: d = 0.25 for episodic memory and 0.37 for working memory. These are small-to-medium effects, measured in laboratories, on small samples, immediately after the manipulation; a large multi-site preregistered replication in this field is still missing. So I will not write that beliefs “explain” memory decline. I will write, more carefully: under test conditions the label alone can subtract a few points, and life after sixty is not short of tests.

There is also Becca Levy’s famous 2002 result: people who in midlife held positive views of their own old age lived on average 7.5 years longer. Fairness requires two footnotes. First, this is a correlation from one longitudinal study, not proof of causation. Second, a fresher meta-analysis from 2023 confirms the link between subjective ageing and health and longevity but rates it as small. Beliefs weigh something; they do not weigh everything.

4. The Line Beyond Which It Is No Longer Ageing

One more boundary belongs in this ledger. Mild cognitive impairment (MCI) affects, according to the American Academy of Neurology guideline – retired in 2024, though the retirement concerned its recommendations, not these prevalence figures – 6.7% of people aged 60–64 and 25.2% of those aged 80–84; within two years some of them progress to dementia (14.9%), but a good share – from the low teens to nearly forty percent – return to normal. Dementia itself, against the folk fatalism, is not a natural stage of old age: the World Health Organization states exactly that. Lisa Genova, a neuroscientist with a Harvard PhD, offers in her book Remember a practical demarcation line: forgetting where the keys are is normal; forgetting what keys are for is not.

At the far end of the same scale sit the so-called SuperAgers – people past eighty whose delayed-recall scores match those of people twenty to thirty years younger. The Northwestern University research programme has been describing them for a quarter of a century: a thicker anterior cingulate cortex, more von Economo neurons, and in some of them an excellent memory despite brains carrying the very changes typical of Alzheimer’s disease. It is tempting to think one need only do whatever they do. The trouble is that nobody knows what “it” is: the data are mostly cross-sectional, the sample self-selected, the direction of causality unknown. For now the SuperAgers prove one thing – that an eighty-year-old brain with a young memory is biologically possible. That is not nothing, but it is not a recipe.

II. A Craft with a Control Group

5. The Student Who Stretched Seven into Seventy-Nine

The cleanest evidence that memory can be a skill comes out of Anders Ericsson’s laboratory and is forty-six years old. An average person can repeat back about seven digits. One undergraduate, a devoted runner, agreed to keep coming to training sessions; after more than two hundred and thirty hours of practice spread over twenty-odd months, he was repeating back seventy-nine. His memory had not grown – he had learned to encode digits as running times, chain them into structures, and prop them against knowledge he already owned. The proof? Given letters instead of digits, he dropped straight back to an ordinary result: about six. The skill was enormous and narrow at once.

The same pattern – great power, zero transfer – had shown up earlier in chess players. A master reconstructs at a glance a position of sixteen pieces where a beginner manages four; but when the pieces were scattered at random, the master’s advantage evaporated. Experts do not have better memories; they have better chunks to pack what they see into.

6. Champions’ Brains Look Ordinary

One might suspect professional mnemonists of having won a genetic lottery. Eleanor Maguire scanned ten people with superior memory, most of them finalists of the world memory championships, and found neither higher intelligence nor any structural brain differences against controls. She found something else: while memorising, their spatial-navigation regions lit up, hippocampus included – because nine out of ten were using the method of loci, invented twenty-five centuries earlier. Not different hardware; a different way of driving it.

7. Forty Days

Can an ordinary person learn this? In 2017 Martin Dresler and colleagues took fifty-one novices and split them into three groups; one of those groups was taught the method of loci for forty days, about half an hour a day. Before training they recalled on average 26 words from a list of 72; afterwards, 62. Four months after the training ended they still held an advantage of more than 22 words over their own starting point, and the functional connectivity of their brains had shifted towards the champions’ pattern. One caveat before anyone books a ticket to the championships: the participants were young men, average age twenty-four. What carries over into the seventh decade is the subject of the next part – and it says less comfortable things.

III. What Carries Over into the Second Half of Life

8. The Honest Arithmetic of Training

Memory training in older adults has been studied long enough that the meta-analyses are older than many a “brain training” start-up. Paul Verhaeghen and his team did the sums back in 1992: after mnemonic training, people past sixty improved on average by 0.73 of a standard deviation. Which sounds splendid until you read on: control groups improved by 0.38 and placebo groups by 0.37 – merely meeting the test again produces half the “miracle.” A newer meta-analysis from 2012, after subtracting the retest effect, puts the real gain at 0.31 of a standard deviation, and adds a result I consider underrated: no single strategy, method of loci included, proved significantly better than the rest. Training as such works, not the magic of one technique.

And one more line the advertisements skip: in Verhaeghen’s meta-analysis, the older the participants, the smaller the gains.

9. The Limit of Plasticity

The most honest experiment in this field was run by Paul Baltes and Reinhold Kliegl, and it deserves quoting precisely because its result is inconvenient. In their “testing the limits” paradigm they took young and older adults through a programme of thirty-eight sessions, of which around seventeen were devoted to training the method of loci – until the reserves ran dry. After all that training, the older group on average never reached the level the young had shown after just two instruction sessions, and the two distributions barely overlapped. Training did not shrink the age difference; it widened it, because the young profited even more.

You can read that result as an obituary, and many do. I read it differently – and this is interpretation, not data. Competing with twenty-year-olds is sport; in life your opponent is your own untrained self, and against that opponent 0.3 of a standard deviation can be the difference between “why did I walk into the kitchen again” and an ordinary day. The ceiling of plasticity sits lower than in the young. It still sits higher than the floor where a person stands who never trains at all.

10. ACTIVE: Ten Years of Follow-Up and One Uncomfortable Lesson

The largest practical test was staged by the American ACTIVE study: 2,832 people aged 65–94, randomly assigned to ten sessions of training in memory, reasoning, or processing speed. The results at two, five and ten years arrange themselves into a lesson in humility. Each training improved almost exclusively the ability that was trained. At ten years the memory-training effect was no longer detectable, though the reasoning and speed effects held. Almost nothing carried over to objectively measured everyday activities; only self-rated coping looked better. And a secondary analysis from 2014 added the detail that explains a lot: barely 25% or so of the trained seniors ever used the method of loci afterwards. Those who did use it gained clearly. Most put the tool back on the shelf.

To complete the picture: participants whose memory was already impaired at baseline got practically nothing from the memory training – while responding normally to the reasoning and speed programmes. A technique needs a working apparatus to run on; that is an argument for early, not for late. The claim circulating in the media that cognitive training “cuts dementia risk by 29%” comes from a secondary analysis of this same study, concerned speed training only, leaned on a p-value of 0.049, and remains disputed to this day; I treat it as a hypothesis, not a finding.

Does all this mean training is overrated? It means, rather, that you must organise the transfer yourself. If what improves is what you train – then train exactly what you need: the names of new acquaintances rather than abstract word lists; the number you want to carry in your head; the talk you have to deliver. Then the “lack of transfer” stops being a flaw, because there is nothing left to transfer.

11. Two Mechanisms Almost for Free

Next to mnemonics, which have to be learned, the two best-documented memory mechanisms are crudely simple. The first: spreading repetitions over time. In a synthesis of 839 experimental comparisons, spaced study yielded on average 47.3% correct answers against 36.7% after massed study – the same minutes, a result nearly thirty percent better. The effect exists in older adults as well; on its relative size the results are mixed, from somewhat smaller to comparable with the young. The second: retrieving instead of rereading. In Roediger and Karpicke’s classic experiment, a week later people retained 56% of a text they had learned by testing themselves, against 42% after repeated reading; a 2014 meta-analysis puts the effect at g = 0.50. In older adults the benefit is confirmed, though often somewhat weaker.

Translated into plain instructions: whatever you are learning – a language, a part, the names on a new street – close the source and quiz yourself, and schedule the repetitions at growing intervals: tomorrow, in three days, in a week, in a month. A sheet of paper and a calendar will do. Boring? Boring. Effective in a way more than one paid app might envy.

IV. Compensation, the Other Half of the Craft

12. Rubinstein’s Three Moves

Paul Baltes liked to bring up a certain television interview with Arthur Rubinstein. Asked, past eighty, how he managed to keep giving concerts, the pianist named three things: he played fewer pieces, practised them more often, and before the fast passages deliberately slowed down, so that the fast ones would sound faster. Baltes turned this into a model of successful ageing – selection, optimisation, compensation – and a better illustration is hard to find. Rubinstein did not pretend nothing had changed. He changed the repertoire, the dosage and the interpretation, and went on playing.

I carry this over to memory without much hesitation: choose what you truly want to remember unaided; train that properly; hand the rest to tools. The next three points say what is known about each of those decisions.

13. The Paradox That Deserves to Be Famous

In laboratory tests of prospective memory – “press the key in twenty minutes” – older adults lose to the young, clearly. But test the same thing in real life (“call me on Tuesday at ten”) and the result flips: the meta-analyses show that in natural settings older adults beat the young, and decisively. The freshest synthesis, covering one hundred and thirty-eight studies and published in 2025, refines this picture: the older adults’ advantage appears where the task is closest to real life – in to-do lists and diary tasks kept at home – and not everywhere the research steps out of the laboratory. The explanation is prosaic and instructive at once: older people live in ordered rhythms, use calendars, tie intentions to routines – and the laboratory strips away that entire infrastructure and measures memory naked. You might say the psychology experiment measures the engine, while life measures the driving. Compensation, then, is not a contingency plan for later; in well-functioning seventy-year-olds it is already running, at full scale and quietly.

14. The Notebook Is Not a Betrayal

Which means the notebook is owed an apology. Offloading memory – cognitive offloading in the literature – now has a research record of its own, and its conclusions are calmer than the op-eds about “digital dementia.” Yes, offloading has a price in memory: in experiments, people who wrote information down remembered less of it when the note was unexpectedly taken away. But the cost applies only to the content actually offloaded, and participants warned about the test recovered nearly their whole level – this is a strategy you can switch on and off, not erosion. The famous 2011 “Google effect,” in the part concerning the reflexive turn of thought towards a search engine when a hard question comes up, failed to hold up in a large systematic replication. In older adults, notes work: they help keep hold of what matters as long as they are at hand – which is exactly why they fail so painfully when the sheet goes missing. The practical conclusion I state as my own rule, not a quotation from the studies: offload what needs to be done – appointments, medication, errands; train what is meant to be yours – names, stories, language, the substance of conversations. The neurologist Richard Restak warns against handing everything to the phone; the research appends a reassuring footnote to that warning: the cost is selective and reversible, so you may hand things over deliberately.

15. The “If–Then” Plan

Finally there is a compensatory technique so cheap it looks suspicious: instead of resolving “I must remember my pills,” you form the plan “if I finish breakfast, then I take the tablet.” Implementation intentions, as the literature calls them, tie an intention to a concrete situational cue – once again performing by hand the binding that used to happen by itself. A 2015 meta-analysis estimated their effect on prospective memory in older adults at d = 0.68; the newest one, covering 642 tests, cools the enthusiasm: the average effect across populations is d = 0.36, and 0.15 after correcting for publication bias, and among the oldest and cognitively weakest it can shrink further. On the credit side: a technique that is free, safe, and runs in the background; on the debit side: more modest than the textbooks of a decade ago proclaimed. I still use it.

V. What the Best in the World Advise

16. The Competitors

Since this essay promises the advice of “the best in the field,” let us check what the people do for whom memory is a competitive sport. Dominic O’Brien has won the World Memory Championships eight times, the first at the inaugural event in 1991. After a five-year break he returned to competition at sixty and in 2017 took the senior world title; in a 2024 interview he described his regimen as 10–15 minutes of practice a day – cards, sudoku, memorising for the sake of the reps. His line from that comeback: what makes the difference is not age but how you challenge your brain every day. Nelson Dellis, six-time USA champion (between 2011 and 2024), began training when his grandmother fell ill with Alzheimer’s; in Remember It! he advises starting with three household applications: names via an image tied to a striking facial feature, lists via the memory palace, passwords and numbers by turning digits into pictures. Joshua Foer, the journalist who after a year of training under Ed Cooke won the 2006 USA championship, described in Moonwalking with Einstein the “OK plateau,” a notion borrowed from Ericsson’s research on deliberate practice: we stop improving not because we have hit our limit but because we have switched on the autopilot. Improvement returns when we practise at the edge of error, with feedback.

For honesty’s sake I will add a result the champions know from experience: a fresh analysis of competition results from 2010–2024 shows that professionals age too – peak form arrives around 28–29, and a sixty-year-old scores roughly three quarters below the peak of the young category in the speed disciplines – and that is a comparison of birth cohorts, not of the same competitor over time. The techniques do not repeal ageing. They shift the whole track upward: senior 60+ championship categories exist and are sometimes superbly contested.

17. The Researchers

And the people who study or treat memory? Richard Restak, a neurologist at a Washington medical school and author of twenty-odd books on the brain, recommends things embarrassingly analogue: read fiction, because a novel – unlike a how-to book – makes you hold characters and plot lines in working memory across three hundred pages; play bridge and chess; write the shopping list, then try to reproduce it from memory in the shop before looking; and guard your attention, because most “holes in memory” are information that never got properly encoded in the first place. Lisa Genova compresses her advice into a single gatekeeper sentence: we remember only what we have truly attended to. Charan Ranganath, a California neuroscientist, adds in Why We Remember the perspective that rounds this essay off: memory is not an archive of the past but an instrument of the future – we remember in order to predict; hence his advice to cultivate curiosity, to test yourself rather than reread, and not to fear errors while recalling, since learning from errors is the brain’s default mode, not a malfunction.

Set these three voices beside the competitors and one common denominator appears, nowhere spoken in chorus: attention at encoding, active retrieval instead of passive contact, regularity instead of sprints. None of them is selling a pill. All of them are selling a craft.

VI. Neuro-Hygiene: What Surrounds the Techniques

18. What Not to Buy

The billion-dollar “brain training” market was built on a promise of transfer: play our game and your life will improve. In 2014, several dozen researchers issued a joint statement under the aegis of the Stanford Center on Longevity and the Max Planck Institute: the industry’s promises are frequently exaggerated, and evidence that the games slow dementia is lacking. Another group, 133 scientists strong, replied with an open letter in the trainings’ defence. The dispute was settled by the most thorough review I know of in this matter – in 2016 Simons and colleagues worked through 132 papers cited by the industry itself and found strong evidence for one thing: the player gets better at the game. Evidence of transfer to related tasks – weak; to everyday life – negligible. The same year, the Federal Trade Commission settled with the makers of Lumosity for 2 million dollars over advertisements promising protection against cognitive decline. The rule I take from this: if you want to be better at sudoku, play sudoku; if you want to remember names, practise names.

19. What the Big Trials Say About Everything Else

Around the techniques stretches hygiene. The Lancet Commission on dementia counted, in its 2024 report, fourteen modifiable risk factors that together account statistically for about 45% of dementia cases worldwide – from education through hearing and vision loss to social isolation – while noting, scrupulously, that these are observational associations in which the direction of causality can be impossible to pin down. Hearing loss carries the most weight in that table alongside LDL cholesterol: 7%. The ACHIEVE trial put hearing aids to a randomised test: across the whole study population the three-year cognitive decline did not change, but in the subgroup of older participants at elevated risk it was 48% slower – a promising result awaiting confirmation, not a slogan. The Finnish FINGER trial showed that a two-year intervention combining diet, exercise, cognitive training and vascular risk control produces a statistically significant yet very modest difference (0.022 of a standard deviation per year); its American replication, published in 2025, improved both comparison groups – but had no group receiving nothing, so part of the effect may be test practice. On physical exercise I write cautiously, because the literature is in the middle of a quarrel: umbrella reviews corrected for publication bias put the effect of exercise on cognition near zero, and leading physical-activity researchers answered with a protest; exercise remains worth doing for dozens of reasons, but selling it as memory training currently outruns the data. Sleep, meanwhile, does quiet and mechanistically well-documented work for memory: consolidation of traces happens to a large degree during deep sleep, so cutting sleep short is economising on the warehouse-keeper.

Out of this list a distinctly unspectacular conclusion assembles itself: a well-fitted hearing aid, current glasses, treated blood pressure, people around you and decent sleep will do more for everyday memory than many an app with a brain in its logo. That synthesis is my own – but every element of it has its separate footing above.

Conclusion. Manual Mode

Back to the opening sentence. “Memory declines with age” – as a description: partly true, most precisely about the binding of new information and about tempo. As a verdict: costly in the execution, and worth overturning. Between the description and the verdict lies a space that twenty-five centuries of craft have had time to settle: attention at encoding, image and place as glue, repetition at growing intervals, a question instead of another rereading, a notebook for what must get done, an “if–then” plan for what should happen by itself, and a calendar as an external frontal lobe.

The automatic transmission does fail more often with age. But automatic is not the only way to drive. Rubinstein, past eighty, slowed down before the fast passages – and the halls stayed full. O’Brien, past sixty, practises a quarter of an hour a day – and still collects championship titles. Neither of them got the automatic back. Both learned to drive in manual mode: a slower start, more attention at every shift – and a surprisingly long range.

A Note on Sources

Every study and figure invoked here was verified in September 2026 against published sources – abstracts and full texts of research papers, institutional documents, and the materials of memory-sport organisations. Where the literature contains corrections or disputes, they are reflected directly: the stereotype-threat effect is given after the 2018 correction to the meta-analysis; the “Google effect” is discussed together with the failed replication of the part of it that concerned the reflexive turn of thought towards a search engine; the claim of a 29% reduction in dementia risk after speed training is treated as contested; the results of the American replication of the FINGER trial are reported with the caveat of a missing no-intervention group; and the effect of physical exercise on cognition is described as the subject of an ongoing quarrel. The practical conclusions marked as my own – the “done/yours” division rule, the reading of the Baltes and Kliegl experiment, the closing synthesis – are the author’s interpretations, not claims made by the researchers cited.

Sources

• Armstrong, B., Gallant, S. N., Li, L., Patel, K., & Wong, B. I. (2017). Stereotype threat effects on older adults’ episodic and working memory: A meta-analysis. The Gerontologist, 57(S2), S193–S205.
• Baker, L. D., Espeland, M. A., Whitmer, R. A., et al. (2025). Structured vs self-guided multidomain lifestyle interventions for global cognitive function: The US POINTER randomized clinical trial. JAMA, 334(8), 681–691.
• Ball, K., et al. (2002). Effects of cognitive training interventions with older adults: A randomized controlled trial. JAMA, 288(18), 2271–2281.
• Baltes, P. B. (1997). On the incomplete architecture of human ontogeny: Selection, optimization, and compensation as foundation of developmental theory. American Psychologist, 52(4), 366–380.
• Baltes, P. B., & Baltes, M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In P. B. Baltes & M. M. Baltes (Eds.), Successful Aging: Perspectives from the Behavioral Sciences (pp. 1–34). Cambridge University Press.
• Baltes, P. B., & Kliegl, R. (1992). Further testing of limits of cognitive plasticity: Negative age differences in a mnemonic skill are robust. Developmental Psychology, 28(1), 121–125.
• Camerer, C. F., et al. (2018). Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015. Nature Human Behaviour, 2, 637–644.
• Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380.
• Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4(1), 55–81.
• Chen, X.-J., et al. (2015). The effect of implementation intention on prospective memory: A systematic and meta-analytic review. Psychiatry Research, 226(1), 14–22.
• Ciria, L. F., et al. (2023). An umbrella review of randomized control trials on the effects of physical exercise on cognition. Nature Human Behaviour, 7(6), 928–941.
• Coe, N. B., et al. (2026). Impact of cognitive training on claims-based diagnosed dementia over 20 years. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 12(1), e70197.
• Crumley, J. J., Stetler, C. A., & Horhota, M. (2014). Examining the relationship between subjective and objective memory performance in older adults: A meta-analysis. Psychology and Aging, 29(2), 250–263.
• Dellis, N. (2018). Remember It! The Names of People You Meet, All of Your Passwords, Where You Left Your Keys, and Everything Else You Tend to Forget. Abrams Image.
• Dresler, M., et al. (2017). Mnemonic training reshapes brain networks to support superior memory. Neuron, 93(5), 1227–1235.
• Dupuy, O., et al. (2024). Do not underestimate the cognitive benefits of exercise. Nature Human Behaviour, 8(8), 1460–1463.
• Edwards, J. D., et al. (2017). Speed of processing training results in lower risk of dementia. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 3(4), 603–611.
• Ericsson, K. A., Chase, W. G., & Faloon, S. (1980). Acquisition of a memory skill. Science, 208(4448), 1181–1182.
• Ericsson, K. A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise. Houghton Mifflin Harcourt.
• Federal Trade Commission (2016). Press release on the Lumosity settlement (2 million dollars for deceptive advertising), January 5, 2016.
• Foer, J. (2011). Moonwalking with Einstein: The Art and Science of Remembering Everything. Penguin Press. Polish edition: Jak zostałem geniuszem pamięci. O sztuce i technice zapamiętywania, transl. K. Puławski, Media Rodzina, 2013.
• Genova, L. (2021). Remember: The Science of Memory and the Art of Forgetting. Harmony Books.
• Grinschgl, S., Papenmeier, F., & Meyerhoff, H. S. (2021). Consequences of cognitive offloading: Boosting performance but diminishing memory. Quarterly Journal of Experimental Psychology, 74(9), 1477–1496.
• Gross, A. L., et al. (2012). Memory training interventions for older adults: A meta-analysis. Aging & Mental Health, 16(6), 722–734.
• Gross, A. L., et al. (2014). Do older adults use the method of loci? Results from the ACTIVE study. Experimental Aging Research, 40(2), 140–163.
• Henry, J. D., MacLeod, M. S., Phillips, L. H., & Crawford, J. R. (2004). A meta-analytic review of prospective memory and aging. Psychology and Aging, 19(1), 27–39.
• Lamont, R. A., Swift, H. J., & Abrams, D. (2015). A review and meta-analysis of age-based stereotype threat: Negative stereotypes, not facts, do the damage. Psychology and Aging, 30(1), 180–193; correction: Psychology and Aging, 33(5), 2018.
• Levy, B. R., Slade, M. D., Kunkel, S. R., & Kasl, S. V. (2002). Longevity increased by positive self-perceptions of aging. Journal of Personality and Social Psychology, 83(2), 261–270.
• Lin, F. R., et al. (2023). Hearing intervention versus health education control to reduce cognitive decline in older adults with hearing loss in the USA (ACHIEVE): A multicentre, randomised controlled trial. The Lancet, 402(10404), 786–797.
• Livingston, G., et al. (2024). Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. The Lancet, 404(10452), 572–628.
• Maddox, G. B., & Balota, D. A. (2015). Retrieval practice and spacing effects in young and older adults: An examination of the benefits of desirable difficulty. Memory & Cognition, 43, 760–774.
• Maguire, E. A., Valentine, E. R., Wilding, J. M., & Kapur, N. (2003). Routes to remembering: The brains behind superior memory. Nature Neuroscience, 6(1), 90–95.
• Menéndez-Granda, M., et al. (2025). Factors explaining age-related prospective memory performance differences: A meta-analysis. The Journals of Gerontology: Series B, 80(6), gbaf020.
• Meyer, A. N. D., & Logan, J. M. (2013). Taking the testing effect beyond the college freshman: Benefits for lifelong learning. Psychology and Aging, 28(1), 142–147.
• Murphy, D. H., & Castel, A. D. (2023). Age-related differences in memory when offloading important information. Psychology and Aging, 38(5), 415–427.
• Naveh-Benjamin, M. (2000). Adult age differences in memory performance: Tests of an associative deficit hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26(5), 1170–1187.
• Ngandu, T., et al. (2015). A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial. The Lancet, 385(9984), 2255–2263.
• Nilsson, L.-G. (2003). Memory function in normal aging. Acta Neurologica Scandinavica, 107(s179), 7–13.
• Old, S. R., & Naveh-Benjamin, M. (2008). Differential effects of age on item and associative measures of memory: A meta-analysis. Psychology and Aging, 23(1), 104–118.
• Petersen, R. C., et al. (2018). Practice guideline update summary: Mild cognitive impairment [RETIRED]. Neurology, 90(3), 126–135.
• Pradhan, R., Mills, B. M., & Tanaka, H. (2026). Age-related changes in performance in memory athletes. GeroScience, advance online publication.
• Ranganath, C. (2024). Why We Remember: Unlocking Memory’s Power to Hold On to What Matters. Doubleday.
• Rebok, G. W., et al. (2014). Ten-year effects of the ACTIVE cognitive training trial on cognition and everyday functioning in older adults. Journal of the American Geriatrics Society, 62(1), 16–24.
• Reese, H. (2022). How to prevent memory loss: A neurologist’s tips to protect your memory. The New York Times, July 6, 2022.
• Rendell, P. G., & Craik, F. I. M. (2000). Virtual week and actual week: Age-related differences in prospective memory. Applied Cognitive Psychology, 14(7), S43–S62.
• Restak, R. (2022). The Complete Guide to Memory: The Science of Strengthening Your Mind. Skyhorse Publishing.
• Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688.
• Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255.
• Rogalski, E., et al. (2019). Cognitive trajectories and spectrum of neuropathology in SuperAgers: The first 10 cases. Hippocampus, 29(5), 458–467.
• Rönnlund, M., Nyberg, L., Bäckman, L., & Nilsson, L.-G. (2005). Stability, growth, and decline in adult life span development of declarative memory: Cross-sectional and longitudinal data from a population-based study. Psychology and Aging, 20(1), 3–18.
• Rowland, C. A. (2014). The effect of testing versus restudy on retention: A meta-analytic review of the testing effect. Psychological Bulletin, 140(6), 1432–1463.
• Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403–428.
• Salthouse, T. A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30(4), 507–514; rejoinder: Schaie, K. W. (2009), ibid., 528–533.
• Sheeran, P., Listrom, O., & Gollwitzer, P. M. (2025). The when and how of planning: Meta-analysis of the scope and components of implementation intentions in 642 tests. European Review of Social Psychology, 36(1), 162–194.
• Simone, P. M., Bell, M. C., & Cepeda, N. J. (2013). Diminished but not forgotten: Effects of aging on magnitude of spacing effect benefits. The Journals of Gerontology: Series B, 68(5), 674–680.
• Simons, D. J., et al. (2016). Do brain-training programs work? Psychological Science in the Public Interest, 17(3), 103–186.
• Sparrow, B., Liu, J., & Wegner, D. M. (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. Science, 333(6043), 776–778.
• Stanford Center on Longevity & Max Planck Institute for Human Development (2014). A consensus on the brain training industry from the scientific community. Statement, October 2014; rejoinder by the Cognitive Training Data group, December 2014.
• Stern, Y. (2012). Cognitive reserve in ageing and Alzheimer’s disease. The Lancet Neurology, 11(11), 1006–1012.
• Stern, Y., et al. (2020). Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimer’s & Dementia, 16(9), 1305–1311.
• Unverzagt, F. W., et al. (2007). Effect of memory impairment on training outcomes in ACTIVE. Journal of the International Neuropsychological Society, 13(6), 953–960.
• Uttl, B. (2008). Transparent meta-analysis of prospective memory and aging. PLoS ONE, 3(2), e1568.
• Verhaeghen, P., Marcoen, A., & Goossens, L. (1992). Improving memory performance in the aged through mnemonic training: A meta-analytic study. Psychology and Aging, 7(2), 242–251.
• Weintraub, S., Gefen, T., Geula, C., & Mesulam, M.-M. (2025). The first 25 years of the Northwestern University SuperAging Program. Alzheimer’s & Dementia, 21(8), e70312.
• Westerhof, G. J., et al. (2023). Longitudinal effects of subjective aging on health and longevity: An updated meta-analysis. Psychology and Aging, 38(3), 147–166.
• Willis, S. L., et al. (2006). Long-term effects of cognitive training on everyday functional outcomes in older adults. JAMA, 296(23), 2805–2814.
• World Health Organization (2025). Dementia. Fact sheet.
• World Memory Championships – organisers’ materials: competition age categories (senior 60+), Dominic O’Brien’s comeback and senior world title (2017); interview with D. O’Brien, Counsel & Heal, April 2024.